Data Scientist

The Data Scientist – Blasting Analytics CoE provides specialist analytical support and generates insights using Orica, customer, and third-party data to enable Orica to sustainably create value.

• Visibly demonstrating a commitment to Orica’s value of ‘Safety is our priority’
• Adhering to Orica’s Global Operating Procedures.
• Work closely with specialist to understand analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
• Perform data cleansing, and data quality assessments to maintain data integrity.
• Analyse blast measurements data against a baseline, develops customized tools and analytics capabilities to support delivery of outcomes.
• Identify valuable data sources and automate collection processes and undertake preprocessing of structured and unstructured data
• Analyse data to discover trends and patterns, build predictive models using machine-learning algorithms, testing, evaluation and deployment.
• Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources for internal and external stakeholder groups.
• Complete User Acceptance Testing in preparation for insight

• Tertiary qualification required, preferably in Engineering, Science (Computer/Data Science) or equivalent.
• Minimum 8 years’ experience post professional qualification in data science field preferably focused on Azure platform.
• Proven analytics skills, including data mining, evaluation, and visualization
• Experience with data analysis including machine learning algorithm, predictive model building, testing, evaluation metrics and model deployment
• Proficiency in programming languages such as Python, R, PySpark and SQL.
• Strong knowledge in statistics
• Knowledge of Azure Synapse Analytics, Azure ML other Azure services such as Azure DevOps, Azure Storage, Azure SQL Database, Azure Data Factory etc.
• Highly advantageous: Understanding of minerals and mining industry measurement tools and data.
• Demonstrates courage, models resilience and flexibility.
• Possess unquestioned reputation for integrity, ethics, personal values, and solid character.
• Builds the trust of others.
• Strong stakeholder management, interpersonal and communication skills.
• Self-aware and open to feedback.
• Strong attention to detail, with a high level of accuracy, integrity, and accountability. High level decision making and problem-solving skills.
• Self-motivated, well organized, and logical, with ability to work under pressure and meet deadlines.